pydynpd is the first python package to implement Difference and System GMM [1][2][3] to estimate dynamic panel data models. Below is a typical dynamic panel data model: In the equation above, x is a ...

Prior research suggests clinical effects of glucagon‐like peptide‐1 receptor agonists (GLP‐1RAs) and sodium‐glucose cotransporter‐2 inhibitors (SGLT2is) are mediated by changes in glycated hemoglobin, ...

The Partial Least Square Regression (PLSR) method has shown admirable competence for predicting continuous variables from inter-correlated electrocorticography signals in the brain-computer interface.

Boston Children’s Hospital and Harvard Medical School, Boston, USA. Since the introduction of coronavirus circa late 2019 (COVID-19), the sentient world has been subjected to media reports with curves ...

The analysis of spatial point patterns has greatly advanced our understanding of ecological processes. However, the methods currently available for analyzing replicated spatial point patterns (RSPPs) ...

Although statistical procedures for pooling of several epidemiological metrics are generally available in statistical packages, those for meta-analysis of diagnostic test accuracy studies including ...

This tutorial is about the --h2-cts flag, which makes it easy to do cell type specific analyses of the sort done in Finucane et al. 2018 Nat Genet. In this example, we will replicate a piece of Figure ...

Time-varying covariance occurs when a covariate changes over time during the follow-up period. Such variable can be analyzed with the Cox regression model to estimate its effect on survival time. For ...

In computational chemistry and chemoinformatics, the support vector machine (SVM) algorithm is among the most widely used machine learning methods for the identification of new active compounds. In ...